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首页> 外文期刊>British Biotechnology Journal >Structural Comparison of Wild and MutatedMatrix Protein of Nipah Virus via in-silicoApproach
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Structural Comparison of Wild and MutatedMatrix Protein of Nipah Virus via in-silicoApproach

机译:Nipah病毒的野生和突变基质蛋白通过计算机方法的结构比较

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Aims: To make three dimensional structure of native and mutated matrix protein (M) of Nipah Virus (NiV) and to establish conformational and functional comparison between the two. Study Design: All in-silico analysis were performed using various online and offline software.Place and Duration of Study: Department of Biotechnology and Bioinformatics, Padmashree Dr. D.Y.Patil Vidyapeeth, Navi Mumbai, February 2013.Methodology: The protein’s physicochemical properties were characterized and 3D model of both the normal and the mutated protein were created using Phyre2. Single point mutation of S147G is recorded which leads to altered structure formation. Both the models were evaluated and compared conformationally.Results: 4G1GB based structures were modeled by phyre2 and minimized energies recorded were-16760.041 kJ/mol for native and -16563.029 kJ/mol for the mutated protein. Structure validation proved that both the native and mutated structures were reliable. Formation of 3 H-bonds make mutated M structure slightly more stable than the native one. Conclusion: NiV, one of deadliest pathogen, needs to be checked immediately. More information gain is needed by performing wet lab analysis. This work might help understand the functional difference between native and mutated M protein and can be used as the potent drug target via applying rational drug designing approach.
机译:目的:制作尼帕病毒(NiV)的天然和突变基质蛋白(M)的三维结构,并在两者之间进行构象和功能比较。研究设计:使用各种在线和离线软件进行所有计算机分析,研究地点和持续时间:Padmashree生物技术和生物信息学系DYPatil Vidyapeeth博士,2013年2月于新孟买方法:表征蛋白质的理化特性使用Phyre2建立了正常蛋白质和突变蛋白质的3D模型。记录了S147G的单点突变,其导致改变的结构形成。结果:通过phyre2对基于4G1GB的结构进行了建模,记录的最小能量为天然能量为-16760.041 kJ / mol,突变蛋白为-16563.029 kJ / mol。结构验证证明,天然结构和突变结构均可靠。 3个H键的形成使突变的M结构比天然M结构更稳定。结论:NiV是最致命的病原体之一,需要立即检查。通过进行湿实验室分析,需要更多信息。这项工作可能有助于理解天然M蛋白和突变M蛋白之间的功能差异,并可以通过应用合理的药物设计方法用作有效的药物靶标。

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